Data Scientist / Engineer - DNA-Encoded Library Technology

You develop data engineering pipelines and analytical tools to interpret large-scale DNA-encoded library screening data, supporting small-molecule drug discovery.

Vos tâches

• Apply statistical methods and predictive models to interpret large-scale DEL screening datasets
• Develop analytical tools and workflows for screening scientists to prioritise compounds
• Design and maintain automated, reproducible data processing and analysis pipelines
• Develop computational workflows and searchable building-block data resources
• Partner with experimental scientists, computational chemists and machine learning teams
• Present analytical results and technical developments to multidisciplinary audiences
• Promote reproducibility, data integrity and robust engineering practices

Ce que vous apportez

• PhD or M.S. in Bioinformatics, Statistics, Computer Science, Data Science, Cheminformatics, Software Engineering or related field
• Strong software engineering background deploying pipelines at scale in HPC or cloud platforms
• Experience in high-throughput scientific data analysis, DEL selection outputs or NGS processing pipelines
• Strong proficiency in Python and statistical programming
• Expertise in data visualisation frameworks such as Spotfire or Tableau
• Experience with cheminformatics toolkits and laboratory data systems (LIMS, SQL, relational databases)

Conditions

• Option d'engagement fixe après la mission, si les deux parties le souhaitent

Technologies

• Python
• Spotfire
• Tableau
• RDKit
• OpenEye
• LIMS
• SQL

Comment postuler

Vous postulez avec votre profil Try&Hire : téléchargez votre CV, vérifiez les informations, indiquez les données clés et votre disponibilité. Une courte vidéo de présentation est facultative, mais elle aide. Notre équipe vous contacte si votre profil correspond à la mission.